Main
Earo Wang
PhD student
Education
Monash University
Ph.D. candidate
Melbourne, AU
2016 - 2019
Thesis: Tidy data structure and visualisation to support exploration and modeling of temporal data
Supervisors: Professor Dianne Cook & Professor Rob J Hyndman
Monash University
B.Comm.(Hons) in Econometrics
Melbourne, AU
2012 - 2015
Thesis: Exploratory visualisation of big time series data
Supervisor: Professor Rob J Hyndman
Honours and awards
ACEMS Impact and Engagement Award
ACEMS
N/A
2018
Acknowledge ACEMS members who actively engage in translating methodological research into open source R packages, awarded to Monash Business Analytics Team.
Data Challenge First Prize
Altas of Living Australia & useR! 2018
N/A
2018
Built a shiny application to explore the varieties of bees in the Atlas of Living Australia, with a cash prize AU$500. Teamwork with Mitchell O’Hara-Wild & Stephanie Kobakian.
ACEMS Business Analytics Prize
ACEMS (Monash University)
N/A
2018
“Calendar-based graphics for visualizing people’s daily schedule” received the best student paper award from ACEMS on Business Analytics, with a cash prize AU$3,000.
ASA Statistical Graphics Student Paper Award
American Statistical Association
N/A
2018
“Calendar-based graphics for visualizing people’s daily schedule” received the best student paper award from ASA on Statistical Graphics, with a cash prize US$1,000.
Data61 Topup Postgraduate Research Scholarship
CSIRO Data61
N/A
2017
Supplementary postgraduate scholarship valued at up to AU$10,000 per annum.
Monash Graduate Scholarship
Monash University
N/A
2016
The scholarship is offered to candidate who has obtained as an Australian bachelors degree with first class honors, valued at AU$26,288 per annum.
Dean’s Honors List – First Class Honors
Monash University
N/A
2015
The Dean’s Lists recognize excellent and sustained academic performance among the students.
Publications
Calendar-based graphics for visualizing people’s daily schedules
eprint:arXiv:1810.09624.
N/A
2018
Wang, E, D Cook, and RJ Hyndman.
Fast computation of reconciled forecasts for hierarchical and grouped time series
In: Computational Statistics & Data Analysis 97, 16–32. DOI: 10.1016/j.csda.2015.11.007.
N/A
2016
Hyndman, RJ, AJ Lee, and E Wang.
Large-scale unusual time series detection
In: Proceedings of the IEEE International Conference on Data Mining. Atlantic City, NJ, USA. 14–17 November 2015. DOI: 10.1109/ICDMW.2015.104.
N/A
2015
Hyndman, RJ, E Wang, and N Laptev.
Talks
- Please see earo.me/talk.
Teaching
I’m a teaching associate for the following units at Monash University since 2014:
- ETC3550: Applied forecasting for business and economics
- ETC2420: Statistical thinking
- ETC1010: Data modelling and computing
- ETC1000: Business and economic statistics
Software
I have contributed a number of R packages. These packages that I maintain on CRAN are listed:
Experience
Visiting scholar
Iowa State University
Ames, US
2018
Software developer
Google Summer of Code
Melbourne, AU
2017
Research assistant
Monash University
Melbourne, AU
2013 - 2015
Service
- useR! 2018 Conference Programme committee